US8488220B1 - Method and apparatus for calibrating imaging equipment - Google Patents
Method and apparatus for calibrating imaging equipment Download PDFInfo
- Publication number
- US8488220B1 US8488220B1 US12/256,317 US25631708A US8488220B1 US 8488220 B1 US8488220 B1 US 8488220B1 US 25631708 A US25631708 A US 25631708A US 8488220 B1 US8488220 B1 US 8488220B1
- Authority
- US
- United States
- Prior art keywords
- calibration
- scanner
- sheet
- deck
- results
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active, expires
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/00002—Diagnosis, testing or measuring; Detecting, analysing or monitoring not otherwise provided for
- H04N1/00071—Diagnosis, testing or measuring; Detecting, analysing or monitoring not otherwise provided for characterised by the action taken
- H04N1/00082—Adjusting or controlling
- H04N1/00087—Setting or calibrating
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/00002—Diagnosis, testing or measuring; Detecting, analysing or monitoring not otherwise provided for
- H04N1/00007—Diagnosis, testing or measuring; Detecting, analysing or monitoring not otherwise provided for relating to particular apparatus or devices
- H04N1/00018—Scanning arrangements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/00002—Diagnosis, testing or measuring; Detecting, analysing or monitoring not otherwise provided for
- H04N1/00026—Methods therefor
- H04N1/00045—Methods therefor using a reference pattern designed for the purpose, e.g. a test chart
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/00002—Diagnosis, testing or measuring; Detecting, analysing or monitoring not otherwise provided for
- H04N1/00026—Methods therefor
- H04N1/00063—Methods therefor using at least a part of the apparatus itself, e.g. self-testing
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N2201/00—Indexing scheme relating to scanning, transmission or reproduction of documents or the like, and to details thereof
- H04N2201/04—Scanning arrangements
- H04N2201/047—Detection, control or error compensation of scanning velocity or position
- H04N2201/04701—Detection of scanning velocity or position
- H04N2201/04715—Detection of scanning velocity or position by detecting marks or the like, e.g. slits
- H04N2201/04717—Detection of scanning velocity or position by detecting marks or the like, e.g. slits on the scanned sheet, e.g. a reference sheet
Definitions
- This disclosure relates generally to imaging equipment such as scanners, and more particularly to method and apparatus for calibrating imaging equipment.
- Imaging equipment or scanning devices such as scanners, are used to collect data from documents and translate the collected data for digital storage and processing.
- scanners may experience inaccuracies in data collection due to camera profiling, camera adjustments or bulb replacement
- a calibration deck of timing sheets is prepared.
- the calibration deck includes a sheet with a series of reference marks that help determine the amount of skew, a sheet with objective scoring bubbles that are all filled in with black ink, a grey scale bubble sheet having a predetermined number of shades between black and white, and a sheet with objective scoring bubbles that are all unfilled, or white.
- the timing sheets are scanned on a scanner, and results from scanning the calibration deck are compared to an industry standard baseline.
- the system includes a calibration deck of sheets.
- the calibration deck includes, a sheet with a series of reference marks, a sheet with objective scoring bubbles that are all filled in with black ink, a grey scale bubble sheet having a predetermined number of shades between black and white, and a sheet with objective scoring bubbles that are all unfilled, or white.
- the calibration deck is adapted to be scanned on the scanner, and where results from scanning the calibration deck are compared to an industry standard baseline.
- the system includes a display for depicting results for at least one scanner, in an embodiment.
- FIG. 1 illustrates a flow diagram of an embodiment of a method for calibrating imaging equipment.
- FIG. 2 illustrates sample sheets from a calibration deck, according to an embodiment.
- FIG. 3A illustrates a flow diagram of a scan process, according to an embodiment.
- FIG. 3B illustrates a flow diagram of a calibration review process, according to an embodiment.
- FIG. 3C illustrates a flow diagram of a baseline scan import process, according to an embodiment.
- FIG. 3D illustrates a flow diagram of a deck maintenance process, according to an embodiment.
- FIG. 4 illustrates a block diagram of an embodiment of an apparatus for processing and scanning documents.
- FIGS. 5-7 illustrate a screen images presented to a user of a calibration facilitator system, according to various embodiments.
- the present subject matter generally relates to method and apparatus for calibrating imaging equipment.
- a computer application for calibrating imaging equipment is referred to as a calibration facilitator.
- the calibration facilitator application is used to compare baseline calibration decks against scanner output.
- IBML scanners are calibrated.
- other types of scanners can be calibrated without departing from the scope of this disclosure.
- the present subject matter is part of a system whose purpose is to convert education assessments (standardized tests, etc.) from paper format to electronic format, thereby providing a means to score both objective (bubbled) fields and writing responses.
- the system associates students to their scanned data and achieves a high level of quality in scanned results.
- Documents are received and scanned, images are generated and passed through processes and applications before data is handed off to peripheral systems.
- the capture of images on a scanner involves several factors.
- the setup of the camera, the brightness of the light source, and the speed and consistency of the paper as it travels down the track are all factors that can affect the quality and darkness of the captured images.
- Most scanners do not have any built-in features to ensure that the scanners are capturing images to a set standard. Therefore, a scanner with a calibration mechanism, which is calibrated to an industry standard, is used to ensure accuracy of all scanners in the system.
- the data can be used as a calibrated “baseline.”
- the results are compared to the calibrated baseline to create a profile that defines how the image would need to change to match the baseline.
- every subsequent image captured on the scanner can be adjusted based on the created calibrated profile. This process is repeatable, and is done periodically to ensure that other factors have not changed how an image is being captured relative to the baseline.
- the calibration facilitator application is a user-based application which serves multiple roles for the calibration environment. It can be used to scan and process calibration decks, review the results of previous calibration scans, import baseline files generated when a calibration deck is scanned on an industry standard calibrated scanner (such as on NCS 5000 scanner, in an embodiment), and perform maintenance of a calibration deck.
- a calibration deck is a set of printed documents designed for capturing. In an embodiment, one part of the deck includes 16 documents, each having 256 bubbles placed in various patterns. Bubbles refer to any two-dimensionally closed form adapted to be filled in with a writing utensil, such as but not limited to: a circle, an ellipse, a square, and a rectangle.
- Bubbles with other shapes and sizes can be used without departing from the scope of this disclosure.
- Each of the bubbles on the 16 documents is defined to a certain grayscale level, from white to black.
- two additional documents in the deck have all 256 white bubbles (used to ensure paper darkness is capturing consistently across the image), and two other documents have 256 black bubbles (used to ensure black captures consistently).
- This embodiment further includes 30 documents that are identical and have a series of reference marks (or “T” marks, in an embodiment) printed at precise distances (both vertically and horizontally) across the form. According to various embodiments, reference marks may be in any convenient shape for capturing by the scanner, including letters or other figures.
- the reference marks are used to make sure the image is capturing at the right speed on the scanner
- a threshold is used to compare the scanner to the calibrated industry scanner, and if the scanner is outside tolerances, a maintenance person must service the scanner before continuing. For example, if 3 or 4 marks are blacker than “0” on a hexadecimal scale, then the scanner fails the calibration.
- the depicted embodiments do not calibrate the scanners; rather check the scanners to ensure they remain in calibration. Using multiple (16 in an embodiment) different sheets with grayscale colors provides better resolution to ensure proper calibration of scanners, and allows results to be depicted more accurately.
- FIG. 1 illustrates a flow diagram of an embodiment of a method for calibrating imaging equipment.
- a calibration deck of timing sheets is prepared, at 105 .
- the calibration deck includes a sheet with a series of reference marks that help determine the amount of skew, a sheet with objective scoring bubbles that are all filled in with black ink, a grey scale bubble sheet having a predetermined number of shades between black and white, and a sheet with objective scoring bubbles that are all unfilled, or white.
- the timing sheets are scanned on a scanner, at 110 , and results from scanning the calibration deck are compared to an industry standard baseline, at 115 .
- comparing results includes determining the amount of skew of an image on a sheet, determining the amount of stretch of an image on a sheet, measuring track speed of the scanner, and/or determining the proportionality of an image on a sheet.
- the method further includes automatically interpreting results using a threshold, in an embodiment. Interpreting the results includes proceeding if the score is acceptable within a predefined tolerance, and also includes providing a notification of an unacceptable result so that the scanner can be manually recalibrated, in various embodiments.
- a status bar is provided showing the relative completion of calibration deck processing. In an embodiment, the relative completion is measured in percent.
- the method also includes determining the amount of one or more of shrinkage, stretch, skew or other distortions of a scanned page, in various embodiments.
- Comparing results of the calibration deck scan to an industry standard baseline includes comparing the results to a scanner with a self-calibration feature, such as an NCS scanner, in an embodiment.
- the comparison establishes a darkness level, in various embodiments.
- each calibration deck can only be used a predetermined number of times. For example, each calibration deck can be scanned 10 times before it is replaced.
- An authorized user can adjust the number of uses per calibration deck, in an embodiment.
- the display provides for an entry of maximum number of scans 606 .
- Each scanner, or machine is recalibrated on a predetermined schedule. In one embodiment, each scanner is recalibrated every 12 hours.
- the schedule for calibration of scanners can be adjusted by an authorized user, in various embodiments.
- the system includes a calibration deck of sheets.
- the calibration deck includes, a sheet with a series of reference marks, a sheet with objective scoring bubbles that are all filled in with black ink, a grey scale bubble sheet having a predetermined number of shades between black and white, and a sheet with objective scoring bubbles that are all unfilled, or white.
- the calibration deck is adapted to be scanned on the scanner, and results from scanning the calibration deck are compared to an industry standard baseline.
- the system includes a display for depicting results for at least one scanner, in an embodiment.
- the display includes a status bar showing the relative completion of calibration deck processing, in an embodiment.
- the relative completion can be measured in percent.
- the display includes a notification of an unacceptable result so that the scanner can be manually recalibrated.
- at least sixteen grey scale bubble sheets are included having a predetermined number of shades between black and white.
- the grey scale bubble sheet has 256 shades, in an embodiment.
- At least 30 sheets with reference marks such as a series of “T”'s, in an embodiment
- at least two sheets with objective scoring bubbles that are all filled in with black ink, and at least two sheets with objective scoring bubbles that are all unfilled, or white are included in various embodiments.
- FIG. 2 illustrates sample sheets from a calibration deck, according to an embodiment.
- the first sixteen pages 150 of a calibration deck include sixteen image sheets, each containing targets of 256 levels of darkness in various placements on each sheet.
- the present embodiments include additional pages, including pages 160 with a reference marks (here a series of “T”'s) that help determine stretch and skew, and pages including bubbles for answering objective examination questions.
- at least one page 155 is included in the deck in with all bubbles unmarked, or white.
- At least one page (not shown) is included in the deck with all bubble at the darkest level, or black, in one embodiment. This checks for color consistency across the paper, and can measure down to the pixel level.
- the same paper stock is used for production and calibration, in various embodiments.
- the calibration facilitator is an automated application and provides a status screen for a user.
- the status screen includes a scan batch, validate batch and batch status bar showing percent completion, in various embodiments.
- the results of the calibration deck scan are processed automatically using a threshold to determine whether a successful scan has been completed. If a successful (errors below the threshold) scan is completed on a scanner, processing continues without interruption on that scanner. If the scan is unsuccessful (errors above the threshold) for a scanner, a notification is made to provide instruction to a user that manual calibration of the identified scanner is required.
- Scanned images include an equal number of image sheets from the scanner's top camera and from the scanner's bottom camera, in an embodiment.
- a hexadecimal score (0-9, A-F) is captured for each target.
- the application provides the user with a programmatic comparison of the scanned image and the baseline calibration image, the output of which is displayed on a screen.
- a reference mark locator application and a reference mark viewer application work together with the calibration facilitator. These applications help identify image capture problems. They work together to capture a series of measurements on scanned images and display the measurements and any patterns found to the user of the applications.
- the reference mark locator application uses specially printed documents having known printing specifications. These documents have 140 reference marks (or T-marks, in an embodiment) printed in 14 rows and 10 columns. Each reference mark is printed at a precise distance from the other (0.75 inches, for example), both vertically and horizontally. After an image is captured of one of these documents on the scanner, it is fed into the locator application and all of the T-marks are programmatically located. The straight-line distance between each mark and its neighboring marks is calculated and output both as an annotation on the image, as well as into a text file. Using 0.75 inches as an example, all distances would be exactly 150 pixels on a perfect image (assuming 200 dots per inch (dpi)). In one embodiment, this application is used with a batch of 50 documents, scanned twice so images off both the top and bottom camera of IBML scanners are captured.
- the reference mark viewer application is used to view the results of the batch of documents scanned using the reference mark locator. Once a batch is selected, the user can look at the measurement patterns on all of the images of the batch in rapid succession. The user can set color thresholds to make the viewing easier. For example, a user can set the application to identify all measurements of 149 pixels or less as green, all measurements of 151 pixels or more as red, and all measurements of exactly 150 pixels as white. Examining the results will show a pattern on multiple images where the measurements are consistently too big or too small, and the at-fault scanner can be identified and re-calibrated. It may be that the belt speeds are too fast, too slow, out of synch, or that the transition points between rollers on the scanner are flawed.
- results may show something wrong from top to bottom or left to right over the entire image, or that specific rows or columns of measurements are consistently off in the image.
- the tolerance for errors depends upon the application the scanner is used for. For example, for certain scanner applications involving objective test answer sheets, measurements between 148 and 152 pixels are acceptable.
- FIG. 3A illustrates a flow diagram of a scan process, according to an embodiment.
- a user starts the application at 300 , and at 302 the display provides a main view.
- the user clicks “scan a calibration deck”, and the scan is displayed at 306 .
- the user selects a deck for scanning and clicks “start scanning”, and the tracking application displays at 310 .
- the user scans the calibration deck and closes the batch, and scan data is loaded and evaluated at 314 .
- an evaluation is made to determine if the data is complete. If not, at 328 the validate screen is displayed and at 330 the user clicks reject which returns to step 302 .
- the process screen is displayed at 318 , assignments are created and processed at 320 , and results are displayed at 322 .
- User can then click “finish” at 332 to return to the main display 302 , or user can click “review” at 334 to display the calibration results at 326 , and then click “close” at 334 to return to step 322 .
- FIG. 3B illustrates a flow diagram of a calibration review process, according to an embodiment.
- the user starts the application and the main view is displayed at 342 .
- FIG. 3C illustrates a flow diagram of a baseline scan import process, according to an embodiment.
- the user starts the application and the main view is displayed at 362 .
- the user clicks “baseline scan import” and deck import displays at 366 .
- the user selects deck and maximum uses, and then clicks “import.” If the data is not complete at 370 , the deck validate screen is displayed at 378 and the user clicks “reject” at 380 to return to the main view display at 362 . If the data is complete at 370 , the deck process screen displays at 372 , assignments are created and processed at 374 , and deck results are displayed at 376 . The user clicks “finish” at 382 to return to the main view display at 362 .
- FIG. 3D illustrates a flow diagram of a deck maintenance process, according to an embodiment.
- the user starts the application and the main view is displayed at 392 .
- FIGS. 5-7 illustrate a screen images presented to a user of a calibration facilitator system, according to various embodiments.
- FIG. 5 illustrates the default view 500 of the application, which is visible upon entering the calibration facilitator application. The user can select from option buttons 502 at the left of the screen and can view information about the current scanner or other scanners in the system in the details area 504 at the right of the screen.
- FIG. 6 illustrates a screen 600 obtained when the user chooses to scan a new calibration deck from the view in FIG. 5 . The user can select a valid calibration deck from the dropdown menu 602 . If the selected deck is at a status that allows it to be scanned, then the user can click the “start scanning” button 604 .
- the display provides for an entry of maximum number of scans 606 .
- that will transfer control from the calibration facilitator to the scanner tracking software.
- a new batch will be created and opened within the tracking software and will be defined under the calibration job.
- FIG. 7 illustrates a detail image viewer screen 700 . Anytime a user double clicks on a row of data with an image path or on a thumbnail image, this form will appear. It will display the image in the standard image viewer control, so all zooming and rotating function are available. Additional screen views are available without departing from the scope of this disclosure.
- FIG. 4 illustrates a block diagram of an embodiment of an apparatus for processing and scanning documents.
- the system resides outside the scanning system, and is a setup application used to tell the scanning system how to scan pages of a completed test.
- a test-taker e.g., a student
- a test-taking center e.g., a school
- the standardized tests include test booklets. Each test booklet includes a number of pages that contain a number of test items or questions.
- Test-processing center 210 Completed test booklets are boxed, illustrated at 208 , for shipping to a test-processing center 210 .
- the boxes include an identifier 212 , such as a bar code for example.
- the boxes of test booklets are unloaded at 214 .
- the test booklets are removed from the boxes and sorted at 216 .
- the test booklets are cut into loose pages. These loose pages are reconciled to ensure that all of the pages for each test booklet are accounted for.
- Reading devices 222 , 224 , and 226 are used to read the identifiers 223 and identify the boxes, read the identifiers 225 and identify the test booklets, and read the identifiers and identify the pages.
- the image field definition system identifies the identifying markings for the pages.
- test pages are graded or scored at 228 .
- objective scoring tasks such as multiple choice questions for example, are scored using scoring of tests from images 230 .
- open-ended scoring tasks are scanned at scanning stations 232 , are stored in a queue, and are distributed by a dealer 234 to human readers 235 who evaluate the open-ended scoring tasks. Reports 236 of the score results are provided at 237 .
- a server in the test-processing center is used to perform a variety of tasks with the scanned data, as discussed herein.
- the server includes priority information, as illustrated via lines 238 , 240 , 242 , 244 and 246 ; the priority information is available at various places along the process.
- the reading device(s) 222 determines which of the boxes should proceed for further processing before other boxes.
- the reading device(s) 224 determine which of the test booklets should proceed for further processing before other test booklets.
- the reading device(s) 226 determine which of the pages (or test items on the pages) should proceed for further processing before other pages (or test items on the pages).
- the priority information is used in the scoring system 228 to determine which test items should be scored before other test items.
- the priority information is used to determine which reports should be provided before other reports 236 .
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Facsimile Scanning Arrangements (AREA)
- Facsimiles In General (AREA)
Abstract
Description
Claims (21)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US12/256,317 US8488220B1 (en) | 2007-10-22 | 2008-10-22 | Method and apparatus for calibrating imaging equipment |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US98175007P | 2007-10-22 | 2007-10-22 | |
US12/256,317 US8488220B1 (en) | 2007-10-22 | 2008-10-22 | Method and apparatus for calibrating imaging equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
US8488220B1 true US8488220B1 (en) | 2013-07-16 |
Family
ID=48749075
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/256,317 Active 2031-03-21 US8488220B1 (en) | 2007-10-22 | 2008-10-22 | Method and apparatus for calibrating imaging equipment |
Country Status (1)
Country | Link |
---|---|
US (1) | US8488220B1 (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140192357A1 (en) * | 2013-01-07 | 2014-07-10 | Seiko Epson Corporation | Spectroscopic measurement device, color management system, and method of generating profile |
US9195875B1 (en) | 2007-10-22 | 2015-11-24 | Data Recognition Corporation | Method and apparatus for defining fields in standardized test imaging |
Citations (88)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4813077A (en) | 1986-07-30 | 1989-03-14 | Scan-Optics, Inc. | Sales transaction record processing system and method |
US4817179A (en) | 1986-12-29 | 1989-03-28 | Scan-Optics, Inc. | Digital image enhancement methods and apparatus |
US4827330A (en) | 1987-07-20 | 1989-05-02 | Litton Industrial Automation Systems, Inc. | Automatic document image revision |
US4837842A (en) | 1986-09-19 | 1989-06-06 | Holt Arthur W | Character and pattern recognition machine and method |
US4967354A (en) | 1987-06-18 | 1990-10-30 | Tescor, Inc. | Method of preparing customized written examinations |
US4978305A (en) | 1989-06-06 | 1990-12-18 | Educational Testing Service | Free response test grading method |
US5001769A (en) | 1988-12-20 | 1991-03-19 | Educational Testing Service | Image processing system |
US5004896A (en) | 1989-07-26 | 1991-04-02 | Educational Testing Service | Optical document scanning and mark sensing |
US5041874A (en) | 1988-10-28 | 1991-08-20 | Minolta Camera Kabushiki Kaisha | Image duplicating apparatus having changeable document scanning modes |
US5194966A (en) | 1990-11-20 | 1993-03-16 | Educational Testing Service | Optical scanner threshold setting method and sheet |
US5313291A (en) * | 1991-11-25 | 1994-05-17 | Xerox Corporation | Method for matching color prints to color images on a monitor screen |
US5321611A (en) | 1993-02-05 | 1994-06-14 | National Computer Systems, Inc. | Multiple test scoring system |
US5363318A (en) * | 1992-03-23 | 1994-11-08 | Eastman Kodak Company | Method and apparatus for adaptive color characterization and calibration |
US5433615A (en) | 1993-02-05 | 1995-07-18 | National Computer Systems, Inc. | Categorized test item reporting system |
US5452379A (en) | 1991-09-13 | 1995-09-19 | Meadowbrook Industries, Ltd. | Image capture and storage techniques in association with optical mark reading |
US5557515A (en) | 1989-08-11 | 1996-09-17 | Hartford Fire Insurance Company, Inc. | Computerized system and method for work management |
US5672060A (en) | 1992-07-08 | 1997-09-30 | Meadowbrook Industries, Ltd. | Apparatus and method for scoring nonobjective assessment materials through the application and use of captured images |
US5735694A (en) | 1993-02-05 | 1998-04-07 | National Computer Systems, Inc. | Collaborative and quality control scoring method |
US5825947A (en) * | 1995-09-01 | 1998-10-20 | Olympus Optical Co., Ltd. | Optical reproducing system for multimedia information recorded with code data having function for correcting image reading distortion |
US5832100A (en) * | 1991-08-30 | 1998-11-03 | Trw Inc. | Method and apparatus for converting documents between paper medium and electronic media using a user profile |
US5907742A (en) * | 1997-03-09 | 1999-05-25 | Hewlett-Packard Company | Lamp control scheme for rapid warmup of fluorescent lamp in office equipment |
US5987302A (en) | 1997-03-21 | 1999-11-16 | Educational Testing Service | On-line essay evaluation system |
US5987149A (en) | 1992-07-08 | 1999-11-16 | Uniscore Incorporated | Method for scoring and control of scoring open-ended assessments using scorers in diverse locations |
US6141120A (en) * | 1996-02-12 | 2000-10-31 | Splash Technology, Inc. | Color calibration method and system having independent color scanner profiles |
US6173154B1 (en) | 1997-07-31 | 2001-01-09 | The Psychological Corporation | System and method for imaging test answer sheets having open-ended questions |
US6204873B1 (en) * | 1997-05-15 | 2001-03-20 | Fuji Photo Film Co., Ltd. | Color conversion adjustment method |
US6256111B1 (en) * | 1998-06-19 | 2001-07-03 | International Business Machines Corporation | Calibrating digital halftoning algorithms with multiple personalities |
US20010028916A1 (en) * | 2000-02-21 | 2001-10-11 | Makoto Akahira | Color filter producing method and apparatus |
US20010040979A1 (en) * | 1999-12-31 | 2001-11-15 | Clay Davidson | Compensating for color response and transfer function of scanner and/or printer when reading a digital watermark |
US6321052B1 (en) * | 1999-09-08 | 2001-11-20 | Fuji Xerox Co., Ltd. | Method and apparatus for correcting running state and tension for an endless belt in an image-forming apparatus |
US6366759B1 (en) | 1997-07-22 | 2002-04-02 | Educational Testing Service | System and method for computer-based automatic essay scoring |
US20020054384A1 (en) * | 1999-01-22 | 2002-05-09 | Margaret Motamed | Automatic scanner calibration |
US6404517B1 (en) * | 1998-03-31 | 2002-06-11 | Seiko Epson Corporation | Color-patch sheet registration |
US20020126172A1 (en) * | 2001-02-28 | 2002-09-12 | Yuji Akiyama | Ink jet printing apparatus, calibration method and calibration chart printing method |
US6459509B1 (en) * | 1996-11-08 | 2002-10-01 | National Computer Systems, Inc. | Optical scanning device having a calibrated pixel output and a method for calibrating such a device |
US6471352B2 (en) * | 2000-02-21 | 2002-10-29 | Canon Kabushiki Kaisha | Color filter producing method and apparatus |
US20020161772A1 (en) | 2001-02-20 | 2002-10-31 | Bergelson Alan P. | Automated procedure for database creation for a form-based data collection system |
US20030016263A1 (en) * | 1998-10-27 | 2003-01-23 | Kiichiro Takahashi | Locating method of an optical sensor, an adjustment method of dot printing position using the optical sensor, and a printing apparatus |
US6526258B2 (en) | 1997-03-21 | 2003-02-25 | Educational Testing Service | Methods and systems for presentation and evaluation of constructed responses assessed by human evaluators |
US6532026B2 (en) * | 1998-04-03 | 2003-03-11 | Canon Kabushiki Kaisha | Adjustment method of dot printing positions and a printing apparatus |
US20030105721A1 (en) | 1995-02-13 | 2003-06-05 | Intertrust Technologies Corp. | Systems and methods for secure transaction management and electronic rights protection |
US20030118976A1 (en) | 2001-12-20 | 2003-06-26 | Toshiba Tec Kabushiki Kaisha | Correction support apparatus, correction support method, correction support program, and correction support system |
US20030126001A1 (en) | 2001-12-28 | 2003-07-03 | Margo Northcutt | Process for managing requests for work within an organization through a centralized workflow management system |
US20030202029A1 (en) * | 1999-11-19 | 2003-10-30 | Koninklijke Philips Electronics, N.V. | Multi-function monitoring module for a printer |
US6714321B2 (en) * | 1998-03-31 | 2004-03-30 | International Business Machines Corporation | Smoothing calibration files to improve reproduction of digitized images |
US20040114164A1 (en) * | 2002-12-17 | 2004-06-17 | Xerox Corporation | Method and apparatus for calibration of a color printer |
US20040117617A1 (en) | 2002-12-11 | 2004-06-17 | Geller Marilyn Grunzweig | Electronic credentials verification and management system |
US20040130739A1 (en) * | 2000-01-05 | 2004-07-08 | Adam George E. | Scanner and printer profiling system |
US20040131279A1 (en) | 2000-08-11 | 2004-07-08 | Poor David S | Enhanced data capture from imaged documents |
US6832825B1 (en) * | 1999-10-05 | 2004-12-21 | Canon Kabushiki Kaisha | Test pattern printing method, information processing apparatus, printing apparatus and density variation correction method |
US20040264771A1 (en) * | 2003-06-30 | 2004-12-30 | Gaurav Sharma | Systems and methods for associating color profiles with a scanned input image using spatial attributes |
US20050024410A1 (en) * | 2003-07-31 | 2005-02-03 | Francesc Subirada | Calibration and measurement techniques for printers |
US20050094170A1 (en) * | 2003-10-30 | 2005-05-05 | Konica Minolta Business Technologies, Inc. | Image forming method and apparatus |
US20050172226A1 (en) | 2004-01-30 | 2005-08-04 | Canon Kabushiki Kaisha | Layout control method, layout control apparatus, and layout control program |
US6947571B1 (en) | 1999-05-19 | 2005-09-20 | Digimarc Corporation | Cell phones with optical capabilities, and related applications |
US20050206982A1 (en) * | 2004-03-09 | 2005-09-22 | Toshiyuki Hattori | Highly accurate and rapid scanning by a simple scanning device and color correction technology for a printing device |
US20060028699A1 (en) * | 2000-11-10 | 2006-02-09 | Xerox Corporation | Patch codes for color calibration job identification encoding |
US7027187B1 (en) * | 1995-08-07 | 2006-04-11 | Electronics For Imaging, Inc. | Real time calibration of a marking engine in a print system |
US20060077407A1 (en) * | 2004-07-16 | 2006-04-13 | Seiko Epson Corporation | Method and device for acquiring information for compensating color drift and medium with program for the same recorded thereon |
US20060164700A1 (en) * | 2005-01-19 | 2006-07-27 | Koji Hayashi | Image forming apparatus and calibration reference chart |
US7084998B2 (en) | 2001-02-13 | 2006-08-01 | Ariba, Inc. | Method and system for processing files using a printer driver |
US20060195508A1 (en) | 2002-11-27 | 2006-08-31 | James Bernardin | Distributed computing |
US20060227386A1 (en) * | 2005-03-29 | 2006-10-12 | Xerox Corporation | Digital scanner calibration |
US20060288279A1 (en) | 2005-06-15 | 2006-12-21 | Sherif Yacoub | Computer assisted document modification |
US20060285134A1 (en) * | 2005-06-15 | 2006-12-21 | Xerox Corporation | System and method for spatial gray balance calibration using hybrid sensing systems |
US7162198B2 (en) | 2002-01-23 | 2007-01-09 | Educational Testing Service | Consolidated Online Assessment System |
US20070024657A1 (en) * | 2003-10-13 | 2007-02-01 | Zhang Nengsheng A | Method and apparatus for calibrating colour print engines |
US20070024928A1 (en) * | 2005-07-29 | 2007-02-01 | Seiko Epson Corporation | Computer readable medium recording a calibration program, calibration method, and calibration system |
US20070247681A1 (en) * | 2006-04-25 | 2007-10-25 | Xerox Corporation | Method for correcting scanner non-uniformity |
US7295340B2 (en) * | 2003-01-15 | 2007-11-13 | Xerox Corporation | Systems and methods for obtaining a spatial color profile, and calibrating a marking system |
US20080080027A1 (en) * | 2006-09-26 | 2008-04-03 | Xerox Corporation | Array based sensor to measure single separation or mixed color (or ioi) patches on the photoreceptor using mems based hyperspectral imaging technology |
US20080152371A1 (en) * | 2006-12-22 | 2008-06-26 | Xerox Corporation | Photoconductor life through active control of charger settings |
US7406392B2 (en) | 2002-05-21 | 2008-07-29 | Data Recognition Corporation | Priority system and method for processing standardized tests |
US7411688B1 (en) * | 2006-03-17 | 2008-08-12 | Arius3D Inc. | Method and system for laser intensity calibration in a three-dimensional multi-color laser scanning system |
US20080225067A1 (en) * | 2007-03-17 | 2008-09-18 | Ricoh Company, Ltd. | Image forming apparatus and impact position displacement correction method |
US20090002724A1 (en) * | 2007-06-27 | 2009-01-01 | Xerox Corporation | Banding profile estimator using multiple sampling intervals |
US20090059321A1 (en) * | 2007-08-31 | 2009-03-05 | Xerox Corporation | System and Method for Generating Color-Correct Scanned Image Files in a Network Environment |
US20090086230A1 (en) * | 2003-09-30 | 2009-04-02 | Reed Alastair M | Methods and Apparatuses for Printer Calibration |
US7516895B2 (en) | 2002-06-20 | 2009-04-14 | Annapolis Technologies, Llc | Bar code synchronization process for scanning image containing documents |
US7630931B1 (en) * | 2005-03-17 | 2009-12-08 | Finanalytica, Inc. | System and method for the valuation of derivatives |
US7697166B2 (en) * | 2007-08-03 | 2010-04-13 | Xerox Corporation | Color job output matching for a printing system |
US7742991B2 (en) | 1999-12-30 | 2010-06-22 | Remmis Holding Llc | Method & system for managing and preparing documentation for real estate transactions |
US20100231728A1 (en) * | 1997-08-25 | 2010-09-16 | Holub Richard A | System for distributing and controlling color reproduction at multiple sites |
US7831195B2 (en) | 2006-12-11 | 2010-11-09 | Sharp Laboratories Of America, Inc. | Integrated paper and computer-based testing administration system |
US20100284041A1 (en) * | 2009-05-07 | 2010-11-11 | Allan Warnes | geometric correction of a recording apparatus |
US7835043B2 (en) * | 2006-09-06 | 2010-11-16 | Hewlett-Packard Development Company, L.P. | Imaging device and calibration method therefor |
US7992953B2 (en) * | 2007-03-17 | 2011-08-09 | Ricoh Company, Ltd. | Image forming apparatus and method of correcting deviation of shooting position |
US8102412B2 (en) * | 2006-08-29 | 2012-01-24 | Lexmark International, Inc | Calibrating a bi-directionally scanning electrophotographic device |
-
2008
- 2008-10-22 US US12/256,317 patent/US8488220B1/en active Active
Patent Citations (99)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4813077A (en) | 1986-07-30 | 1989-03-14 | Scan-Optics, Inc. | Sales transaction record processing system and method |
US4837842A (en) | 1986-09-19 | 1989-06-06 | Holt Arthur W | Character and pattern recognition machine and method |
US4817179A (en) | 1986-12-29 | 1989-03-28 | Scan-Optics, Inc. | Digital image enhancement methods and apparatus |
US4967354A (en) | 1987-06-18 | 1990-10-30 | Tescor, Inc. | Method of preparing customized written examinations |
US4827330A (en) | 1987-07-20 | 1989-05-02 | Litton Industrial Automation Systems, Inc. | Automatic document image revision |
US5041874A (en) | 1988-10-28 | 1991-08-20 | Minolta Camera Kabushiki Kaisha | Image duplicating apparatus having changeable document scanning modes |
EP0374892B1 (en) | 1988-12-20 | 1997-04-23 | Educational Testing Service | Image processing system |
US5001769A (en) | 1988-12-20 | 1991-03-19 | Educational Testing Service | Image processing system |
US4978305A (en) | 1989-06-06 | 1990-12-18 | Educational Testing Service | Free response test grading method |
US5004896A (en) | 1989-07-26 | 1991-04-02 | Educational Testing Service | Optical document scanning and mark sensing |
US5557515A (en) | 1989-08-11 | 1996-09-17 | Hartford Fire Insurance Company, Inc. | Computerized system and method for work management |
US5194966A (en) | 1990-11-20 | 1993-03-16 | Educational Testing Service | Optical scanner threshold setting method and sheet |
US5832100A (en) * | 1991-08-30 | 1998-11-03 | Trw Inc. | Method and apparatus for converting documents between paper medium and electronic media using a user profile |
US5452379A (en) | 1991-09-13 | 1995-09-19 | Meadowbrook Industries, Ltd. | Image capture and storage techniques in association with optical mark reading |
US5313291A (en) * | 1991-11-25 | 1994-05-17 | Xerox Corporation | Method for matching color prints to color images on a monitor screen |
US5363318A (en) * | 1992-03-23 | 1994-11-08 | Eastman Kodak Company | Method and apparatus for adaptive color characterization and calibration |
US5672060A (en) | 1992-07-08 | 1997-09-30 | Meadowbrook Industries, Ltd. | Apparatus and method for scoring nonobjective assessment materials through the application and use of captured images |
US5987149A (en) | 1992-07-08 | 1999-11-16 | Uniscore Incorporated | Method for scoring and control of scoring open-ended assessments using scorers in diverse locations |
US5321611A (en) | 1993-02-05 | 1994-06-14 | National Computer Systems, Inc. | Multiple test scoring system |
US6183261B1 (en) | 1993-02-05 | 2001-02-06 | National Computer Systems, Inc. | Collaborative and quality control scoring system and method |
US5735694A (en) | 1993-02-05 | 1998-04-07 | National Computer Systems, Inc. | Collaborative and quality control scoring method |
US5433615A (en) | 1993-02-05 | 1995-07-18 | National Computer Systems, Inc. | Categorized test item reporting system |
US20030105721A1 (en) | 1995-02-13 | 2003-06-05 | Intertrust Technologies Corp. | Systems and methods for secure transaction management and electronic rights protection |
US20060193017A1 (en) * | 1995-08-07 | 2006-08-31 | Zuber Peter A | Methods and apparatus for real time calibration of a marking engine in a print system |
US7027187B1 (en) * | 1995-08-07 | 2006-04-11 | Electronics For Imaging, Inc. | Real time calibration of a marking engine in a print system |
US5825947A (en) * | 1995-09-01 | 1998-10-20 | Olympus Optical Co., Ltd. | Optical reproducing system for multimedia information recorded with code data having function for correcting image reading distortion |
US6141120A (en) * | 1996-02-12 | 2000-10-31 | Splash Technology, Inc. | Color calibration method and system having independent color scanner profiles |
US6459509B1 (en) * | 1996-11-08 | 2002-10-01 | National Computer Systems, Inc. | Optical scanning device having a calibrated pixel output and a method for calibrating such a device |
US5907742A (en) * | 1997-03-09 | 1999-05-25 | Hewlett-Packard Company | Lamp control scheme for rapid warmup of fluorescent lamp in office equipment |
US5987302A (en) | 1997-03-21 | 1999-11-16 | Educational Testing Service | On-line essay evaluation system |
US6526258B2 (en) | 1997-03-21 | 2003-02-25 | Educational Testing Service | Methods and systems for presentation and evaluation of constructed responses assessed by human evaluators |
US6204873B1 (en) * | 1997-05-15 | 2001-03-20 | Fuji Photo Film Co., Ltd. | Color conversion adjustment method |
US6366759B1 (en) | 1997-07-22 | 2002-04-02 | Educational Testing Service | System and method for computer-based automatic essay scoring |
US6173154B1 (en) | 1997-07-31 | 2001-01-09 | The Psychological Corporation | System and method for imaging test answer sheets having open-ended questions |
US20100231728A1 (en) * | 1997-08-25 | 2010-09-16 | Holub Richard A | System for distributing and controlling color reproduction at multiple sites |
US6404517B1 (en) * | 1998-03-31 | 2002-06-11 | Seiko Epson Corporation | Color-patch sheet registration |
US6714321B2 (en) * | 1998-03-31 | 2004-03-30 | International Business Machines Corporation | Smoothing calibration files to improve reproduction of digitized images |
US6532026B2 (en) * | 1998-04-03 | 2003-03-11 | Canon Kabushiki Kaisha | Adjustment method of dot printing positions and a printing apparatus |
US6256111B1 (en) * | 1998-06-19 | 2001-07-03 | International Business Machines Corporation | Calibrating digital halftoning algorithms with multiple personalities |
US20030016263A1 (en) * | 1998-10-27 | 2003-01-23 | Kiichiro Takahashi | Locating method of an optical sensor, an adjustment method of dot printing position using the optical sensor, and a printing apparatus |
US20020054384A1 (en) * | 1999-01-22 | 2002-05-09 | Margaret Motamed | Automatic scanner calibration |
US20070201112A1 (en) * | 1999-01-22 | 2007-08-30 | Margaret Motamed | Methods and apparatus for automatic scanner calibration |
US20050213790A1 (en) | 1999-05-19 | 2005-09-29 | Rhoads Geoffrey B | Methods for using wireless phones having optical capabilities |
US6947571B1 (en) | 1999-05-19 | 2005-09-20 | Digimarc Corporation | Cell phones with optical capabilities, and related applications |
US6321052B1 (en) * | 1999-09-08 | 2001-11-20 | Fuji Xerox Co., Ltd. | Method and apparatus for correcting running state and tension for an endless belt in an image-forming apparatus |
US6832825B1 (en) * | 1999-10-05 | 2004-12-21 | Canon Kabushiki Kaisha | Test pattern printing method, information processing apparatus, printing apparatus and density variation correction method |
US20030202029A1 (en) * | 1999-11-19 | 2003-10-30 | Koninklijke Philips Electronics, N.V. | Multi-function monitoring module for a printer |
US7742991B2 (en) | 1999-12-30 | 2010-06-22 | Remmis Holding Llc | Method & system for managing and preparing documentation for real estate transactions |
US20010040979A1 (en) * | 1999-12-31 | 2001-11-15 | Clay Davidson | Compensating for color response and transfer function of scanner and/or printer when reading a digital watermark |
US20040130739A1 (en) * | 2000-01-05 | 2004-07-08 | Adam George E. | Scanner and printer profiling system |
US20010028916A1 (en) * | 2000-02-21 | 2001-10-11 | Makoto Akahira | Color filter producing method and apparatus |
US6471352B2 (en) * | 2000-02-21 | 2002-10-29 | Canon Kabushiki Kaisha | Color filter producing method and apparatus |
US6645029B2 (en) * | 2000-02-21 | 2003-11-11 | Canon Kabushiki Kaisha | Color filter producing method and apparatus |
US20080316552A1 (en) * | 2000-08-11 | 2008-12-25 | Ctb/Mcgraw-Hill, Llc | Method and apparatus for data capture from imaged documents |
US7573616B2 (en) | 2000-08-11 | 2009-08-11 | Ctb/Mcgraw-Hill Llc | Enhanced data capture from imaged documents |
US20040131279A1 (en) | 2000-08-11 | 2004-07-08 | Poor David S | Enhanced data capture from imaged documents |
US20060028699A1 (en) * | 2000-11-10 | 2006-02-09 | Xerox Corporation | Patch codes for color calibration job identification encoding |
US7084998B2 (en) | 2001-02-13 | 2006-08-01 | Ariba, Inc. | Method and system for processing files using a printer driver |
US20020161772A1 (en) | 2001-02-20 | 2002-10-31 | Bergelson Alan P. | Automated procedure for database creation for a form-based data collection system |
US20020126172A1 (en) * | 2001-02-28 | 2002-09-12 | Yuji Akiyama | Ink jet printing apparatus, calibration method and calibration chart printing method |
US20030118976A1 (en) | 2001-12-20 | 2003-06-26 | Toshiba Tec Kabushiki Kaisha | Correction support apparatus, correction support method, correction support program, and correction support system |
US20030126001A1 (en) | 2001-12-28 | 2003-07-03 | Margo Northcutt | Process for managing requests for work within an organization through a centralized workflow management system |
US7162198B2 (en) | 2002-01-23 | 2007-01-09 | Educational Testing Service | Consolidated Online Assessment System |
US7406392B2 (en) | 2002-05-21 | 2008-07-29 | Data Recognition Corporation | Priority system and method for processing standardized tests |
US7516895B2 (en) | 2002-06-20 | 2009-04-14 | Annapolis Technologies, Llc | Bar code synchronization process for scanning image containing documents |
US20060195508A1 (en) | 2002-11-27 | 2006-08-31 | James Bernardin | Distributed computing |
US20040117617A1 (en) | 2002-12-11 | 2004-06-17 | Geller Marilyn Grunzweig | Electronic credentials verification and management system |
US20040114164A1 (en) * | 2002-12-17 | 2004-06-17 | Xerox Corporation | Method and apparatus for calibration of a color printer |
US7295340B2 (en) * | 2003-01-15 | 2007-11-13 | Xerox Corporation | Systems and methods for obtaining a spatial color profile, and calibrating a marking system |
US7474783B2 (en) * | 2003-06-30 | 2009-01-06 | Xerox Corporation | Systems and methods for associating color profiles with a scanned input image using spatial attributes |
US20040264771A1 (en) * | 2003-06-30 | 2004-12-30 | Gaurav Sharma | Systems and methods for associating color profiles with a scanned input image using spatial attributes |
US20050024410A1 (en) * | 2003-07-31 | 2005-02-03 | Francesc Subirada | Calibration and measurement techniques for printers |
US20090086230A1 (en) * | 2003-09-30 | 2009-04-02 | Reed Alastair M | Methods and Apparatuses for Printer Calibration |
US20070024657A1 (en) * | 2003-10-13 | 2007-02-01 | Zhang Nengsheng A | Method and apparatus for calibrating colour print engines |
US20050094170A1 (en) * | 2003-10-30 | 2005-05-05 | Konica Minolta Business Technologies, Inc. | Image forming method and apparatus |
US20050172226A1 (en) | 2004-01-30 | 2005-08-04 | Canon Kabushiki Kaisha | Layout control method, layout control apparatus, and layout control program |
US20050206982A1 (en) * | 2004-03-09 | 2005-09-22 | Toshiyuki Hattori | Highly accurate and rapid scanning by a simple scanning device and color correction technology for a printing device |
US20060077407A1 (en) * | 2004-07-16 | 2006-04-13 | Seiko Epson Corporation | Method and device for acquiring information for compensating color drift and medium with program for the same recorded thereon |
US20060164700A1 (en) * | 2005-01-19 | 2006-07-27 | Koji Hayashi | Image forming apparatus and calibration reference chart |
US7630931B1 (en) * | 2005-03-17 | 2009-12-08 | Finanalytica, Inc. | System and method for the valuation of derivatives |
US20060227386A1 (en) * | 2005-03-29 | 2006-10-12 | Xerox Corporation | Digital scanner calibration |
US7505173B2 (en) * | 2005-06-15 | 2009-03-17 | Xerox Corporation | System and method for spatial gray balance calibration using hybrid sensing systems |
US20060285134A1 (en) * | 2005-06-15 | 2006-12-21 | Xerox Corporation | System and method for spatial gray balance calibration using hybrid sensing systems |
US20060288279A1 (en) | 2005-06-15 | 2006-12-21 | Sherif Yacoub | Computer assisted document modification |
US20070024928A1 (en) * | 2005-07-29 | 2007-02-01 | Seiko Epson Corporation | Computer readable medium recording a calibration program, calibration method, and calibration system |
US7411688B1 (en) * | 2006-03-17 | 2008-08-12 | Arius3D Inc. | Method and system for laser intensity calibration in a three-dimensional multi-color laser scanning system |
US20070247681A1 (en) * | 2006-04-25 | 2007-10-25 | Xerox Corporation | Method for correcting scanner non-uniformity |
US7692832B2 (en) * | 2006-04-25 | 2010-04-06 | Xerox Corporation | Method for correcting scanner non-uniformity |
US8102412B2 (en) * | 2006-08-29 | 2012-01-24 | Lexmark International, Inc | Calibrating a bi-directionally scanning electrophotographic device |
US7835043B2 (en) * | 2006-09-06 | 2010-11-16 | Hewlett-Packard Development Company, L.P. | Imaging device and calibration method therefor |
US20080080027A1 (en) * | 2006-09-26 | 2008-04-03 | Xerox Corporation | Array based sensor to measure single separation or mixed color (or ioi) patches on the photoreceptor using mems based hyperspectral imaging technology |
US7831195B2 (en) | 2006-12-11 | 2010-11-09 | Sharp Laboratories Of America, Inc. | Integrated paper and computer-based testing administration system |
US20080152371A1 (en) * | 2006-12-22 | 2008-06-26 | Xerox Corporation | Photoconductor life through active control of charger settings |
US20080225067A1 (en) * | 2007-03-17 | 2008-09-18 | Ricoh Company, Ltd. | Image forming apparatus and impact position displacement correction method |
US7992953B2 (en) * | 2007-03-17 | 2011-08-09 | Ricoh Company, Ltd. | Image forming apparatus and method of correcting deviation of shooting position |
US20090002724A1 (en) * | 2007-06-27 | 2009-01-01 | Xerox Corporation | Banding profile estimator using multiple sampling intervals |
US7697166B2 (en) * | 2007-08-03 | 2010-04-13 | Xerox Corporation | Color job output matching for a printing system |
US20090059321A1 (en) * | 2007-08-31 | 2009-03-05 | Xerox Corporation | System and Method for Generating Color-Correct Scanned Image Files in a Network Environment |
US20100284041A1 (en) * | 2009-05-07 | 2010-11-11 | Allan Warnes | geometric correction of a recording apparatus |
Non-Patent Citations (25)
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9195875B1 (en) | 2007-10-22 | 2015-11-24 | Data Recognition Corporation | Method and apparatus for defining fields in standardized test imaging |
US20140192357A1 (en) * | 2013-01-07 | 2014-07-10 | Seiko Epson Corporation | Spectroscopic measurement device, color management system, and method of generating profile |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9495736B2 (en) | Image inspecting apparatus and image inspecting program | |
US7573616B2 (en) | Enhanced data capture from imaged documents | |
US6854644B1 (en) | Method of analyzing marks made on a response sheet | |
US5140139A (en) | Preparing mark/read documents with markable boxes and locating the boxes from the document scan data | |
CA1321026C (en) | Method and apparatus for optically reading pre-printed survey pages | |
CN106033535B (en) | Electronic paper marking method | |
CN1490167A (en) | Printer reading method and device after printing | |
US20140270481A1 (en) | System for determining alignment of a user-marked document and method thereof | |
JP6669163B2 (en) | Colorimetric device and colorimetric method | |
CN104943421B (en) | Method for making image detecting system automatically select inspection parameter | |
WO2007139836A2 (en) | Optical mark reader | |
EP2902966A1 (en) | Image inspecting apparatus and image inspecting program | |
US6970267B1 (en) | Gray scale optical mark reader | |
US8649601B1 (en) | Method and apparatus for verifying answer document images | |
Karunanayake | OMR sheet evaluation by web camera using template matching approach | |
US8488220B1 (en) | Method and apparatus for calibrating imaging equipment | |
US8331740B2 (en) | Inferential self-registration of imperfect OMR forms | |
Sattayakawee | Test scoring for non-optical grid answer sheet based on projection profile method | |
US8379247B2 (en) | Method, system and test sheet image bitmap for carrying out a scanner-and-processor based image-to-paper registration setup | |
Jingyi et al. | Image processing for enhanced omr answer matching precision | |
US11267264B2 (en) | Method for automated alignment and register measurement using circular measuring marks | |
CN111814606A (en) | Automatic marking system for technical image processing and pattern recognition and implementation method | |
JP5558081B2 (en) | Image formation state inspection method, image formation state inspection device, and image formation state inspection program | |
US8526055B1 (en) | Standardized test and survey imaging system | |
CN115420746A (en) | Quality detection method, quality detection device and quality detection equipment for printed parts |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: DATA RECOGNITION CORPORATON, MINNESOTA Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:RAY, DAMON E.;REEL/FRAME:022153/0302 Effective date: 20081107 |
|
FEPP | Fee payment procedure |
Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
FEPP | Fee payment procedure |
Free format text: PAT HOLDER NO LONGER CLAIMS SMALL ENTITY STATUS, ENTITY STATUS SET TO UNDISCOUNTED (ORIGINAL EVENT CODE: STOL); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
FPAY | Fee payment |
Year of fee payment: 4 |
|
MAFP | Maintenance fee payment |
Free format text: PAYMENT OF MAINTENANCE FEE, 8TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1552); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY Year of fee payment: 8 |